prometheus-flask | expose Prometheus performance metrics on Flask application | Dashboard library

by bobbui Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | prometheus-flask Summary

prometheus-flask is a Python library typically used in Analytics, Dashboard, Prometheus, Grafana applications. prometheus-flask has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Library to expose Prometheus performance metrics on Flask application

Support

Quality

Security

License

Reuse

Support

prometheus-flask has a low active ecosystem.

It has 14 star(s) with 8 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

prometheus-flask has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of prometheus-flask is current.

Quality

prometheus-flask has 0 bugs and 8 code smells.

Security

prometheus-flask has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

prometheus-flask code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

prometheus-flask is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

prometheus-flask releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

prometheus-flask saves you 283 person hours of effort in developing the same functionality from scratch.

It has 683 lines of code, 77 functions and 21 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed prometheus-flask and discovered the below as its top functions. This is intended to give you an instant insight into prometheus-flask implemented functionality, and help decide if they suit your requirements.

Monitor HTTP request latency
Monitor the host metrics
Return the number of disk reads per second
Count the number of reads in the system
Return the number of disk writes per second
Return the number of disk writes

Get all kandi verified functions for this library.

prometheus-flask Key Features

No Key Features are available at this moment for prometheus-flask.

prometheus-flask Examples and Code Snippets

No Code Snippets are available at this moment for prometheus-flask.

Community Discussions

Trending Discussions on prometheus-flask

How to update metrics regularly using prometheus-flask-exporter?

How to install PyCaret in AWS Glue

Kube-Prometheus-Stack Helm Chart v14.40 : Node-exporter and scrape targets unhealthy in Docker For Mac Kubernetes Cluster on macOS Catalina 10.15.7

How to configure kube-prometheus-stack helm installation to scrape a Kubernetes service?

pandas version is not updated after installing a new version on databricks

QUESTION

How to update metrics regularly using prometheus-flask-exporter?

Asked 2022-Feb-07 at 16:31

I'm creating a simple Flask webapp which should generate a random metric to be pulled by Prometheus. I'm using the prometheus-flask-exporter library which enabled me to set a metric.

Put simply, I want to know how can I configure custom metrics internally within flask so that they update at intervals from the '/metrics' endpoint of the flask app.

Not 'how often can I get prometheus to fetch a particular metric'

Currently I can't get a loop working within my flask app as the main class doesn't run if I have one.

This is just for a proof of concept, the custom metric can be anything.

My app.py:

...

ANSWER

Answered 2022-Feb-04 at 18:15

I am not sure you understood how Prometheus works. By default Prometheus fetches the metrics from the target(s) every 15 seconds, but you can set a different interval. So it will call your endpoint every 15 seconds to retrieve the metrics, unless you decide otherwise. Your endpoint is purely passive and responds to incoming connections as they happen.

If what you want is to collect metrics every 5 seconds, then you have to edit your YAML configuration file on the Prometheus machine. The Flask app does not need changing.

Source https://stackoverflow.com/questions/70989754

QUESTION

How to install PyCaret in AWS Glue

Asked 2021-Jul-08 at 17:01

How can I properly install PyCaret in AWS Glue?

Methods I tried:

--additional-python-modules and --python-modules-installer-option
Python library path
easy_install as described in Use AWS Glue Python with NumPy and Pandas Python Packages

I am using Glue Version 2.0. I used --additional-python-modules and set to pycaret as shown in the picture.

Then I got this error log.

...

ANSWER

Answered 2021-Jul-08 at 17:01

I reached out to AWS support. Meghana was in charge of this case.

Here is the reply:

Source https://stackoverflow.com/questions/68260888

QUESTION

Kube-Prometheus-Stack Helm Chart v14.40 : Node-exporter and scrape targets unhealthy in Docker For Mac Kubernetes Cluster on macOS Catalina 10.15.7

Asked 2021-Apr-02 at 11:15

I have installed kube-prometheus-stack as a dependency in my helm chart on a local Docker for Mac Kubernetes cluster v1.19.7.

The myrelease-name-prometheus-node-exporter service is failing with errors received from the node-exporter daemonset after installation of the helm chart for kube-prometheus-stack is installed. This is installed in a Docker Desktop for Mac Kubernetes Cluster environment.

release-name-prometheus-node-exporter daemonset error log

...

ANSWER

Answered 2021-Apr-01 at 08:10

This issue was solved recently. Here is more information: https://github.com/prometheus-community/helm-charts/issues/467 and here: https://github.com/prometheus-community/helm-charts/pull/757

Here is the solution (https://github.com/prometheus-community/helm-charts/issues/467#issuecomment-802642666):

[you need to] opt-out the rootfs host mount (preventing the crash). In order to do that you need to specify the following value in values.yaml file:

Source https://stackoverflow.com/questions/66893031

QUESTION

How to configure kube-prometheus-stack helm installation to scrape a Kubernetes service?

Asked 2021-Mar-30 at 17:37

I have installed kube-prometheus-stack as a dependency in my helm chart on a local docker for Mac Kubernetes cluster v1.19.7. I can view the default prometheus targets provided by the kube-prometheus-stack.

I have a python flask service that provides metrics which I can view successfully in the kubernetes cluster using kubectl port forward.

However, I am unable to get these metrics displayed on the prometheus targets web interface.

The kube-prometheus-stack documentation states that Prometheus.io/scrape does not support annotation-based discovery of services. Instead the the reader is referred to the concept of ServiceMonitors and PodMonitors.

So, I have configured my service as follows:

...

ANSWER

Answered 2021-Mar-30 at 17:33

Prometheus custom resource definition has a field called serviceMonitorSelector. Prometheus only listens to those matched serviceMonitor. In case of helm deployment it is your release name.

Source https://stackoverflow.com/questions/66875139

QUESTION

pandas version is not updated after installing a new version on databricks

Asked 2020-Sep-10 at 09:19

I am trying to solve a problem of pandas when I run python3.7 code on databricks.

The error is:

...

ANSWER

Answered 2020-Sep-10 at 09:19

It's really recommended to install libraries via cluster initialization script. The %sh command is executed only on the driver node, but not on the executor nodes. And it also doesn't affect Python instance that is already running.

The correct solution will be to use dbutils.library commands, like this:

Source https://stackoverflow.com/questions/63821633

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install prometheus-flask

You can download it from GitHub.
You can use prometheus-flask like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: